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Inappropriate empirical antibacterial therapy may lead to treatment\u2010related antibacterial resistance and increased toxicity, making adjustment of the dosage regimen essential. In the present study, physiologically based pharmacokinetic (PBPK) models were developed to define the appropriate dosage regimen for pediatric patients with differing renal function. Our PBPK models accurately predicted teicoplanin exposures in both adult and pediatric subjects after single and multiple intravenous infusions, with a &lt;1.36\u2010fold error between predicted and observed data, and all observed data were within minimal and maximal data of the corresponding population simulation. The area under the plasma concentration\u2013time curve was predicted to increase 1.25\u2010fold, 1.95\u2010fold, and 2.82\u2010fold in pediatric patients with mild, moderate, and severe renal impairment, respectively, relative to that of healthy children. Subsequently, the results of Monte Carlo simulations indicated that the recommended dosing of 12, 9.5, 6, and 4 mg\/kg at 12\u2010hour intervals would be appropriate in pediatric patients with normal renal function and in those with mild, moderate, and severe renal impairment, respectively, at a susceptible minimum inhibitory concentration &lt;2 mg\/L. In conclusion, our PBPK model with an incorporated Monte Carlo simulation can provide improved guidance on dosing in pediatric patients with differing renal function and provide a basis for precision therapy with teicoplanin.<\/jats:p>","DOI":"10.1002\/jcph.2000","type":"journal-article","created":{"date-parts":[[2021,11,11]],"date-time":"2021-11-11T08:10:48Z","timestamp":1636618248000},"page":"620-630","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Physiologically Based Pharmacokinetic Modeling and Dose Adjustment of Teicoplanin in Pediatric Patients With Renal Impairment"],"prefix":"10.1002","volume":"62","author":[{"given":"Jianwen","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Pharmacy the First Affiliated Hospital of Fujian Medical University  Fuzhou People's Republic of 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